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J

J. Pernas-Sánchez

Researcher at Carlos III Health Institute

Publications -  39
Citations -  687

J. Pernas-Sánchez is an academic researcher from Carlos III Health Institute. The author has contributed to research in topics: Composite laminates & Epoxy. The author has an hindex of 13, co-authored 29 publications receiving 463 citations. Previous affiliations of J. Pernas-Sánchez include Charles III University of Madrid.

Papers
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Numerical modeling of ice behavior under high velocity impacts

TL;DR: In this article, a constitutive relation for ice at high strain rates and an algorithm for its numerical integration are developed based on the Drucker-Prager plasticity criteria, which allows a different behavior in tension and in compression.
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Experimental study of the impactor mass effect on the low velocity impact of carbon/epoxy woven laminates

TL;DR: In this article, the impactor mass effect on the behavior of carbon/epoxy woven laminates under low velocity impact is carried out by means of a drop weigh tower in a range of energies varying from 10 to 110 j, and using three different impactor masses.
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Numerical analysis of high velocity impacts on unidirectional laminates

TL;DR: In this article, a numerical methodology to predict the behavior of composite unidirectional laminates under high velocity impact is developed, and experimental results of high velocity impacts of steel sphere against laminate coupons, were accomplished.
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Analysis of high velocity impacts of steel cylinders on thin carbon/epoxy woven laminates

TL;DR: In this paper, a numerical model was developed to predict the behavior of thin woven laminates under high velocity impacts, which was implemented in a user subroutine to be used with a commercial FE code, taking into account different failure mechanisms.
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Experimental analysis of normal and oblique high velocity impacts on carbon/epoxy tape laminates

TL;DR: In this paper, the effect of high velocity impacts on carbon/epoxy tape quasi-isotropic laminates is studied and a simplified analytical model is proposed to identify different energy absorbtion mechanisms and predict the residual velocity of the projectile.